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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: Model_G_S_P_Wav2Vec2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Model_G_S_P_Wav2Vec2 |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4056 |
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- Wer: 0.5800 |
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- Cer: 0.2434 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0003 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| 1.0772 | 4.17 | 400 | 1.8505 | 0.6597 | 0.2778 | |
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| 0.5563 | 8.33 | 800 | 1.9481 | 0.6481 | 0.2663 | |
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| 0.4008 | 12.5 | 1200 | 2.2166 | 0.6589 | 0.2767 | |
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| 0.285 | 16.67 | 1600 | 2.0445 | 0.6128 | 0.2535 | |
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| 0.2171 | 20.83 | 2000 | 2.2138 | 0.5943 | 0.2509 | |
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| 0.1611 | 25.0 | 2400 | 2.2532 | 0.5813 | 0.2455 | |
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| 0.1098 | 29.17 | 2800 | 2.4056 | 0.5800 | 0.2434 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 1.18.3 |
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- Tokenizers 0.13.3 |
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